Yannick Jonetzko
Papers
6
Total Citations
181
H-Index
5
About
Yannick Jonetzko is a robotics researcher whose work lies at the intersection of tactile sensing, human-robot interaction, and mixed reality. His primary contributions focus on enabling robots to handle objects with human-like dexterity and stability. His most cited work, "Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization" (81 citations), addresses a critical challenge in robotics: using tactile feedback to dynamically adjust grip force and prevent object slippage. Jonetzko has also pioneered accessible hardware solutions, including a low-cost, modular system for customizable tactile sensor arrays, making sophisticated touch sensing more practical for widespread use. In the domain of human-robot interaction, he has explored how mixed reality interfaces—such as the Microsoft HoloLens—can be used to intuitively command and collaborate with co-located robots, comparing multimodal gestures like heading and pointing. His work on multimodal object analysis, combining auditory and tactile data with recurrent neural networks, further demonstrates his commitment to creating richer, more robust sensory feedback loops. Through these efforts, Jonetzko is helping to bridge the gap between rigid industrial automation and the adaptive, tactile-rich manipulation that defines human interaction with the physical world.
Research Focus
Key Achievements
Top Papers
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- 4Low-cost fabrication of flexible tactile sensor arrays8 citations · 2022
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